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Update app.py

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Model was not found, so fix it by creating a global variable with the correct path : MODEL = "THUDM/CogVideoX-5b"
Fix typo 'experimental use'
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Alexandre Poisson 2024-09-29 12:54:08 +02:00 committed by GitHub
parent 4a2af29867
commit df3da996d3
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inference/gradio_composite_demo/app.py
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@ -37,13 +37,15 @@ from huggingface_hub import hf_hub_download, snapshot_download
device = "cuda" if torch.cuda.is_available() else "cpu" device = "cuda" if torch.cuda.is_available() else "cpu"
MODEL = "THUDM/CogVideoX-5b"
hf_hub_download(repo_id="ai-forever/Real-ESRGAN", filename="RealESRGAN_x4.pth", local_dir="model_real_esran") hf_hub_download(repo_id="ai-forever/Real-ESRGAN", filename="RealESRGAN_x4.pth", local_dir="model_real_esran")
snapshot_download(repo_id="AlexWortega/RIFE", local_dir="model_rife") snapshot_download(repo_id="AlexWortega/RIFE", local_dir="model_rife")
pipe = CogVideoXPipeline.from_pretrained("/share/official_pretrains/hf_home/CogVideoX-5b", torch_dtype=torch.bfloat16).to(device) pipe = CogVideoXPipeline.from_pretrained(MODEL, torch_dtype=torch.bfloat16).to(device)
pipe.scheduler = CogVideoXDPMScheduler.from_config(pipe.scheduler.config, timestep_spacing="trailing") pipe.scheduler = CogVideoXDPMScheduler.from_config(pipe.scheduler.config, timestep_spacing="trailing")
pipe_video = CogVideoXVideoToVideoPipeline.from_pretrained( pipe_video = CogVideoXVideoToVideoPipeline.from_pretrained(
"/share/official_pretrains/hf_home/CogVideoX-5b", MODEL,
transformer=pipe.transformer, transformer=pipe.transformer,
vae=pipe.vae, vae=pipe.vae,
scheduler=pipe.scheduler, scheduler=pipe.scheduler,
@ -53,9 +55,9 @@ pipe_video = CogVideoXVideoToVideoPipeline.from_pretrained(
).to(device) ).to(device)
pipe_image = CogVideoXImageToVideoPipeline.from_pretrained( pipe_image = CogVideoXImageToVideoPipeline.from_pretrained(
"/share/official_pretrains/hf_home/CogVideoX-5b-I2V", MODEL,
transformer=CogVideoXTransformer3DModel.from_pretrained( transformer=CogVideoXTransformer3DModel.from_pretrained(
"/share/official_pretrains/hf_home/CogVideoX-5b-I2V", subfolder="transformer", torch_dtype=torch.bfloat16 MODEL, subfolder="transformer", torch_dtype=torch.bfloat16
), ),
vae=pipe.vae, vae=pipe.vae,
scheduler=pipe.scheduler, scheduler=pipe.scheduler,
@ -315,7 +317,7 @@ with gr.Blocks() as demo:
"></a> "></a>
</div> </div>
<div style="text-align: center; font-size: 15px; font-weight: bold; color: red; margin-bottom: 20px;"> <div style="text-align: center; font-size: 15px; font-weight: bold; color: red; margin-bottom: 20px;">
⚠️ This demo is for academic research and experiential use only. ⚠️ This demo is for academic research and experimental use only.
</div> </div>
""") """)
with gr.Row(): with gr.Row():